Model comparison
Gemini 2.5 Flash-Lite vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 8.9× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Grok 4.20 Multi-Agent in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 22.2.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
Side by side
| Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | xAI | |
| Noometry Index | 37.0 | 46.2 |
| Released | 2025-06-17 | 2026-03-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 66K | 30K |
| Input $ / M tokens | $0.10 | $1.25 |
| Output $ / M tokens | $0.40 | $2.50 |
| Results tracked | 33 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1373 | 1457 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Grok 4.20 Multi-Agent: —
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1448 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 89.6% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | 1373 | 1442 |
| Omni-MATH | 48% | — |
Knowledge Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1373 | 1445 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | 1198 | 1259 |
| VPCT | 30% | — |
Multilingual Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1369 | 1440 |
| LMArena Chinese | 1404 | 1475 |
| LMArena French | 1388 | 1466 |
| LMArena German | 1389 | 1456 |
| LMArena Japanese | 1359 | 1405 |
| LMArena Korean | 1360 | 1416 |
| LMArena Russian | 1373 | 1457 |
| LMArena Spanish | 1396 | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1367 | 1420 |
| IFEval | 81% | — |
Long Context Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1373 | 1431 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Grok 4.20 Multi-Agent leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | Gemini 2.5 Flash-Lite | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1379 | 1450 |
| LMArena Creative Writing | 1367 | 1436 |
| LMArena Multi-Turn | 1366 | 1452 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 8.9× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Grok 4.20 Multi-Agent?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is Gemini 2.5 Flash-Lite or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.
How many benchmarks do Gemini 2.5 Flash-Lite and Grok 4.20 Multi-Agent share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Grok 4.20 Multi-Agent has 20.